Hello,
PyPy has a hard limit on its heap size. It can be specified with this
environment variable:
PYPY_GC_MAX The max heap size. If coming near this limit, it
will first collect more often, then raise an
RPython MemoryError, and if that is not enough,
crash the program with a fatal error. Try values
like '1.6GB'.
Check out the rest of th evariables for the GC in
pypy/rpython/memory/gc/minimark.py
In general, the pypy GC isn't optimised to know what pages are in memory or in
swap, so each major collection will cause every single page to be touched. If a
large part of your pypy process will not fit into the swap, you will probably
experience very significant slowdowns.
Cheers
- Timo
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